Advanced Malware and Anomaly Detection
Start anytime. Work at your own pace.
Cybersecurity
Online Self-Paced
10-20 Hours
$1200
Take as a standalone course or as part of the Advanced Malware and Anomaly Detection
This course offers an in-depth exploration of network analysis techniques, network packet inspection, and the strategic management of cybersecurity incidents.
Johns Hopkins University Certificate of Completion
Curriculum designed and delivered by JHU Faculty
Start the course anytime through open enrollment
LIVE monthly seminars with JHU Faculty
Engaging learning including video lectures and hands-on activities
Advanced Malware and Anomaly Detection
Format
Online Self-Paced
Topic
Cybersecurity
Commitment
10-20 Hours
Investment
$1200
Take as a standalone course or as part of the Advanced Malware and Anomaly Detection
Demonstrate your expertise in Cybersecurity and AI
Earn a certificate of completion from JHU, a recognized leader in education and research. Earn 2 Continuing Education Units (CEUs) upon program completion.
Part of Johns Hopkins Lifelong Learning’s
#6
National University Rankings
#13
Best Global University
Course description
This course offers an in-depth exploration of network analysis techniques, network packet inspection, and the strategic management of cybersecurity incidents. Participants will engage in hands-on exercises and simulations that mirror real-world scenarios, enabling them to refine their analytical skills and response strategies.
Who is the program for?
This course is ideal for cybersecurity professionals and AI enthusiasts seeking foundational knowledge in applying AI to enhance cybersecurity measures, detect threats, and secure user authentication.
Professionals in Cybersecurity Roles
Information Security Analysts
Security Administrators
Data Loss Prevention Strategists
Security Architects
Acquire essential skills to leverage AI for Cybersecurity
Designed by JHU Faculty, the curriculum covers key skills in artificial intelligence and cybersecurity.
Network Packet Analysis Tools (GOTS and COTS)
Incident Response Strategies and Organizational Policies
NIST CSF and SANS Incident Response Cycle
Log Analysis and Correlation for IDS
ROC Analysis and Graphical Representations
Tabletop Exercise for Intrusion Detection
Incident Response and IDS Integration
Intrusion Prevention Systems (IPS): Components and Functionality
Meet Your Instructor
Designed by JHU Faculty, the curriculum covers key skills in artificial intelligence and cybersecurity.
Network Packet Analysis Tools (GOTS and COTS)
Incident Response Strategies and Organizational Policies
NIST CSF and SANS Incident Response Cycle
Log Analysis and Correlation for IDS
ROC Analysis and Graphical Representations
Tabletop Exercise for Intrusion Detection
Incident Response and IDS Integration
Intrusion Prevention Systems (IPS): Components and Functionality
Built for cybersecurity practitioners
Monthly LIVE seminars
Enhance your learning experience through monthly live seminars designed to deepen your expertise and allow you to engage directly with faculty experts at the forefront of their fields, gaining valuable insights, practical advice, and real-world perspectives.
Engaging materials
Learn at your own pace with engaging and helpful learning materials such as video lectures, relevant readings, and case studies.
Dedicated program support
Johns Hopkins University faculty are readily accessible to address your questions directly through the course platform, ensuring personalized guidance and a seamless learning experience.
Hands-on projects & case studies
Hands-on activities that help you demonstrate competence and enabling reskilling and upskilling.
Lead with AI-driven strategic innovation
Master cutting-edge AI & project management skills to transform your organization and stay ahead in the competitive landscape